Gemini 3 Flash Max: pricing, context window and benchmarks
Gemini 3 Flash Max is a frontier model from Google DeepMind. It offers a 1,000,000-token context window, costs $17.43 per million input tokens and $63.42 per million output tokens, and averages 85.0 across the index's benchmark suite.
Pricing
Gemini 3 Flash Max costs $17.43 per million input tokens and $63.42 per million output tokens. A blended 3:1 input-to-output mix works out to about $28.93 per million tokens. Cached input is listed at $1.81 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $17.43 | per 1M tokens |
| Output | $63.42 | per 1M tokens |
| Cached input | $1.81 | per 1M tokens |
| Blended 3:1 | $28.93 | estimate per 1M tokens |
| 1M in + 1M out | $80.85 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 87.8 | 19 | 97th | |
| GPQA Diamond | 80.9 | 45 | 93th | |
| SWE-bench Verified | 73.8 | 56 | 91th | |
| HumanEval | 88.5 | 64 | 89th | |
| MATH-500 | 88.6 | 64 | 89th | |
| AIME 2025 | 86.7 | 22 | 96th | |
| LiveCodeBench | 78.3 | 62 | 90th | |
| IFEval | 91.3 | 48 | 92th | |
| TruthfulQA | 87.1 | 34 | 94th | |
| HellaSwag | 91.1 | 60 | 90th | |
| MMMU | 81.0 | 43 | 93th | |
| Arena Elo | 1448.5 | 77 | 87th |
What Gemini 3 Flash Max is good for
Gemini 3 Flash Max sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $17.43 per million input tokens and a 1,000,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.
Strengths
- Top-tier average benchmark score (85.0), placing it #46 of 600.
- Large 1,000,000-token context window for long documents and agent traces.
- Accepts more than text, including image input where the provider supports it.
- Reasoning-oriented profile, useful for multi-step problems and structured analysis.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Premium input pricing at $17.43 per million tokens.
- Cost can climb quickly on long outputs and high-volume traffic.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| GPT-4.1 Pro | OpenAI | 400000 | $17.56 | 85.2 |
| Gemini 3 Flash Max | Google DeepMind | 1000000 | $17.43 | 85.0 |
| GPT-5.1 Vision | OpenAI | 400000 | $17.76 | 84.8 |
| Gemini 2.5 Pro Max | Google DeepMind | 200000 | $16.94 | 84.8 |
| Gemini 3 Flash Pro | Google DeepMind | 400000 | $17.71 | 84.8 |
| o3 Max | OpenAI | 2000000 | $17.82 | 84.8 |
FAQ
How much does Gemini 3 Flash Max cost?
Gemini 3 Flash Max is listed at $17.43 per million input tokens and $63.42 per million output tokens. Cached input is $1.81 per million tokens. A blended 3:1 input-to-output mix is about $28.93 per million tokens.
What is the context window of Gemini 3 Flash Max?
Gemini 3 Flash Max has a context window of 1,000,000 tokens and can emit up to 65,536 output tokens per request in this index.
Is Gemini 3 Flash Max open weights?
No. Gemini 3 Flash Max is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Gemini 3 Flash Max score on benchmarks?
Gemini 3 Flash Max averages 85.0 across the scored benchmarks in this index, ranking #46 of 600 models. Its strongest relative result is Arena Elo at 1448.5.
What is Gemini 3 Flash Max best for?
Gemini 3 Flash Max sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $17.43 per million input tokens and a 1,000,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.